Store observations, decisions, and discoveries in a persistent SQLite FTS5 memory system.
npx skills add https://github.com/abhiroopb/synthetic-mind --skill memory-abhiroopb
Please help me install this Agent Skill. Skill: memory Source: https://github.com/abhiroopb/synthetic-mind/tree/main/skills/memory Command: npx skills add https://github.com/abhiroopb/synthetic-mind --skill memory-abhiroopb
This Skill addresses the critical issue of AI agents losing all context between sessions by providing a persistent, searchable knowledge store.
Search your memory for any past observations related to the checkout flow.
High-intent search queries and answers about installing and using this skill.
Persistent AI memory stores observations, decisions, and discoveries locally in a SQLite database, ensuring accumulated knowledge remains available across all future sessions.
Yes, full-text search is enabled using SQLite with FTS5, allowing you to efficiently retrieve past information and recall specific historical observations by searching keywords.
Progressive disclosure is a layered retrieval mechanism that transitions from a compact index to full details, enabling efficient access to stored agent context without overwhelming the search.
No external dependencies are required. The system uses SQLite with FTS5 to locally store and search session tracking data, decisions, and discoveries without external services.
You can use the persistent knowledge store to review decisions made during a complex project by searching your memory for keywords related to past sessions and observations.
SpiralCloudOmegaPersist AI agent context across sessions using SQLite and FTS5 memory indexing.
justlovemakiRetrieve historical references from PrismFlow memory and knowledge bases.
zircoteCoordinate agents in-session with swarm tools and cross-session via blackboard files.
jflambBuild local SQLite knowledge stores with FTS5 full-text search.
